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Managerial Regret and Inventory Pricing

Author

Listed:
  • Meng Li

    (C. T. Bauer College of Business, University of Houston, Houston, Texas 77204)

  • Yan Liu

    (International Institute of Finance, School of Management, University of Science and Technology of China, Hefei 230026, China)

Abstract

In this paper, we study a regretful seller’s problem of selling a fixed number of goods over a finite and known time horizon. The seller engages in counterfactual thinking to compare her selected price with other forgone alternatives. If a forgone alternative (ex post) generates a better outcome than the selected one, then the seller experiences regret. We characterize the pricing decision of a regretful seller and find that, although regret leads the seller to set a price that is lower than that set by an unbiased seller, the regretful seller employs decision policies whose structure is similar to those of the unbiased seller: the price decreases with the remaining inventory and increases with the time-to-go. Interestingly, we find that the seller who has a greater number of goods does not necessarily receive greater revenue.

Suggested Citation

  • Meng Li & Yan Liu, 2022. "Managerial Regret and Inventory Pricing," Management Science, INFORMS, vol. 68(6), pages 4398-4414, June.
  • Handle: RePEc:inm:ormnsc:v:68:y:2022:i:6:p:4398-4414
    DOI: 10.1287/mnsc.2021.4073
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    References listed on IDEAS

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    1. David E. Bell, 1983. "Risk Premiums for Decision Regret," Management Science, INFORMS, vol. 29(10), pages 1156-1166, October.
    2. Matthew Rabin & Ted O'Donoghue, 1999. "Doing It Now or Later," American Economic Review, American Economic Association, vol. 89(1), pages 103-124, March.
    3. Guillermo Gallego & Garrett van Ryzin, 1994. "Optimal Dynamic Pricing of Inventories with Stochastic Demand over Finite Horizons," Management Science, INFORMS, vol. 40(8), pages 999-1020, August.
    4. Manel Baucells & Lin Zhao, 2019. "It Is Time to Get Some Rest," Management Science, INFORMS, vol. 65(4), pages 1717-1734, April.
    5. Richard Engelbrecht-Wiggans & Elena Katok, 2008. "Regret and Feedback Information in First-Price Sealed-Bid Auctions," Management Science, INFORMS, vol. 54(4), pages 808-819, April.
    6. Javad Nasiry & Ioana Popescu, 2012. "Advance Selling When Consumers Regret," Management Science, INFORMS, vol. 58(6), pages 1160-1177, June.
    7. Gabriel Bitran & René Caldentey & Susana Mondschein, 1998. "Coordinating Clearance Markdown Sales of Seasonal Products in Retail Chains," Operations Research, INFORMS, vol. 46(5), pages 609-624, October.
    8. Andrew M. Davis & Elena Katok & Anthony M. Kwasnica, 2011. "Do Auctioneers Pick Optimal Reserve Prices?," Management Science, INFORMS, vol. 57(1), pages 177-192, January.
    9. Emel Filiz-Ozbay & Erkut Y. Ozbay, 2007. "Auctions with Anticipated Regret: Theory and Experiment," American Economic Review, American Economic Association, vol. 97(4), pages 1407-1418, September.
    10. Ioannis Stamatopoulos & Christos Tzamos, 2019. "Design and Dynamic Pricing of Vertically Differentiated Inventories," Management Science, INFORMS, vol. 65(9), pages 4222-4241, September.
    11. Gabriel R. Bitran & Susana V. Mondschein, 1997. "Periodic Pricing of Seasonal Products in Retailing," Management Science, INFORMS, vol. 43(1), pages 64-79, January.
    12. David E. Bell, 1982. "Regret in Decision Making under Uncertainty," Operations Research, INFORMS, vol. 30(5), pages 961-981, October.
    13. Maurice E. Schweitzer & Gérard P. Cachon, 2000. "Decision Bias in the Newsvendor Problem with a Known Demand Distribution: Experimental Evidence," Management Science, INFORMS, vol. 46(3), pages 404-420, March.
    14. J. Neil Bearden & Ryan O. Murphy & Amnon Rapoport, 2008. "Decision Biases in Revenue Management: Some Behavioral Evidence," Manufacturing & Service Operations Management, INFORMS, vol. 10(4), pages 625-636, June.
    15. Xin Chen & Peng Hu & Zhenyu Hu, 2017. "Efficient Algorithms for the Dynamic Pricing Problem with Reference Price Effect," Management Science, INFORMS, vol. 63(12), pages 4389-4406, December.
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    Cited by:

    1. Cao, Erbao & Tang, Jing, 2024. "Managing regretful newsvendors and supply chain performance through target-setting," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).

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